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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. 6-RES-JB
    11. 5628
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    Explanations

    numerical values indicating quantity or magnitude

    oai_token-act-pair · gpt-3.5-turbo

    the word "alone" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anty
    -0.75
    acies
    -0.69
     Briggs
    -0.68
    olid
    -0.67
    arty
    -0.66
    enegger
    -0.65
    uay
    -0.64
     alignment
    -0.63
    EMP
    -0.63
     stances
    -0.62
    POSITIVE LOGITS
     suffice
    0.82
    åŃIJ
    0.70
     exceeds
    0.68
    è£ħ
    0.66
     alone
    0.66
    Render
    0.65
     admit
    0.65
     amounted
    0.65
    è¦
    0.64
     justifies
    0.63
    Activations Density 0.019%

    No Known Activations