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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. 10-RES-JB
    11. 2933
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    INDEX
    Explanations

    phrases related to accountability and responsibility

    oai_token-act-pair · gpt-3.5-turbo

    references to comparative situations or scenarios involving teams or groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tackle
    -0.82
    undrum
    -0.76
    clair
    -0.76
    ftime
    -0.76
    abel
    -0.75
    pin
    -0.73
    thood
    -0.71
    wen
    -0.70
    Ireland
    -0.69
    aphael
    -0.69
    POSITIVE LOGITS
     ones
    1.54
     rest
    1.24
     perpetrators
    1.20
     slightest
    1.15
     bosses
    1.07
     remainder
    1.07
     attackers
    1.06
     masses
    1.06
     consequences
    1.05
     authorities
    1.03
    Activations Density 0.479%

    No Known Activations