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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 22925
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    Explanations

    prepositions and conjunctions

    oai_token-act-pair · gpt-3.5-turbo

    references to actions or discussions related to various topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ".[
    -0.75
    !.
    -0.69
    ,...
    -0.69
    tek
    -0.67
    !".
    -0.66
     ILCS
    -0.63
     ........
    -0.62
     contrad
    -0.62
    Í
    -0.61
     constitu
    -0.61
    POSITIVE LOGITS
     ado
    0.63
     extends
    0.63
     Lomb
    0.60
    ivalry
    0.58
     Chal
    0.58
    eatures
    0.57
    resents
    0.57
    indal
    0.57
    Lex
    0.56
     Horizon
    0.56
    Activations Density 0.398%

    No Known Activations