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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. 0-RES-JB
    11. 10075
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    Explanations

    words encapsulated within quotation marks

    oai_token-act-pair · gpt-3.5-turbo

    sequences of quotation marks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     –
    -0.78
     ðŁĻĤ
    -0.69
     Kab
    -0.58
     Guardian
    -0.53
     Mechdragon
    -0.52
     "âĢ¦
    -0.52
    anwhile
    -0.51
     Soy
    -0.51
     backstory
    -0.51
    ebus
    -0.50
    POSITIVE LOGITS
    ''
    4.13
    ''.
    2.96
    ,''
    2.65
    '';
    2.58
    .''
    2.55
    ``
    2.49
     ''
    2.28
    ''''
    2.12
    �
    2.04
    \'
    1.94
    Activations Density 0.009%

    No Known Activations