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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. 11-RES-JB
    11. 16616
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    Explanations

    words related to culinary ingredients and medical substances

    oai_token-act-pair · gpt-3.5-turbo

    topics related to social issues and systemic inequalities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     realise
    -0.72
     Secondly
    -0.62
     Whilst
    -0.59
     realised
    -0.57
     apologise
    -0.57
     learnt
    -0.57
     secondly
    -0.56
     Firstly
    -0.56
    :-
    -0.56
     analyse
    -0.54
    POSITIVE LOGITS
    ,
    0.93
    ,...
    0.74
    ,[
    0.65
     and
    0.65
    *,
    0.61
    .,
    0.61
    —"
    0.59
    —
    0.58
     (!
    0.58
    ides
    0.53
    Activations Density 0.376%

    No Known Activations