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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. 3703
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    Explanations

    names or words closely associated with "Gan."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    mentions of specific names or terms containing "Gan" with varying activation levels

    oai_token-act-pair · gpt-3.5-turbo
    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
    anwhile
    -0.90
    iott
    -0.74
    sburgh
    -0.73
     COURT
    -0.71
     seeker
    -0.70
    umbn
    -0.66
    ORY
    -0.66
     Pompe
    -0.65
    ynski
    -0.63
    ÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤ
    -0.63
    POSITIVE LOGITS
     Gan
    0.99
    ryu
    0.95
    zeb
    0.92
    bare
    0.92
    omes
    0.88
    esh
    0.87
    ewater
    0.86
    omen
    0.84
    zel
    0.83
    roo
    0.83
    Activations Density 0.015%

    No Known Activations