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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. 3054
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    Explanations

    words related to changes and actions in a social or political context

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to actions and events

    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
    uminati
    -0.68
     divergence
    -0.64
    OF
    -0.62
     Scand
    -0.62
     neutrality
    -0.60
     continuity
    -0.57
    mania
    -0.57
    assian
    -0.57
     Dynamics
    -0.56
    anian
    -0.56
    POSITIVE LOGITS
    bled
    1.00
    etheless
    0.99
    ped
    0.94
    gered
    0.92
    ifully
    0.91
    ceed
    0.90
    rarily
    0.90
    efully
    0.90
    vered
    0.90
    ighed
    0.90
    Activations Density 0.148%

    No Known Activations