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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. 4901
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    Explanations

    phrases related to results or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the results or outcomes of processes or events

    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
    pload
    -0.69
    orthy
    -0.69
    eworld
    -0.64
    weather
    -0.64
    esse
    -0.62
    othe
    -0.61
    orns
    -0.60
    abilia
    -0.59
    cko
    -0.59
    wig
    -0.59
    POSITIVE LOGITS
     decades
    0.99
     exhaustive
    0.98
     centuries
    0.97
     painstaking
    0.94
     millennia
    0.94
     deliberations
    0.92
     experimentation
    0.91
     careful
    0.91
     conversations
    0.88
     diligent
    0.88
    Activations Density 0.176%

    No Known Activations