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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 22797
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    INDEX
    Explanations

    high-level meetings or interactions between individuals, especially in a political or diplomatic context

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to meetings and interactions between individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    planet
    -0.79
    aan
    -0.71
     overwrite
    -0.70
     subtract
    -0.69
    itars
    -0.68
    orr
    -0.67
     ILCS
    -0.67
    venant
    -0.66
    shield
    -0.65
    mol
    -0.65
    POSITIVE LOGITS
     representatives
    1.26
     reporters
    1.18
     constituents
    1.12
     stakeholders
    1.06
     executives
    1.04
     businessmen
    1.01
     lawmakers
    1.00
     legislators
    1.00
     advisers
    0.95
     journalists
    0.94
    Activations Density 0.156%

    No Known Activations