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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. 3-RES-JB
    11. 17895
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    Explanations

    names or terms related to individuals or entities

    oai_token-act-pair · gpt-3.5-turbo

    specific names and terms related to reports or articles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alia
    -0.76
    lectic
    -0.74
    uts
    -0.73
    essee
    -0.73
    rael
    -0.73
    Ķ
    -0.71
    ys
    -0.70
    iago
    -0.68
    ãĥĥãĥī
    -0.67
    htar
    -0.66
    POSITIVE LOGITS
    VEL
    0.95
    actionDate
    0.92
    BACK
    0.81
    served
    0.76
    STON
    0.76
    riott
    0.73
    vana
    0.71
    POST
    0.70
    fare
    0.68
    LOS
    0.68
    Activations Density 0.028%

    No Known Activations