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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. 1-RES-JB
    11. 7373
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    Explanations

    words related to strong emotions or intense actions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "fee" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    displayText
    -0.76
     Shining
    -0.75
    ova
    -0.71
    externalActionCode
    -0.65
    AIN
    -0.65
    Trend
    -0.65
    asking
    -0.63
    AAF
    -0.63
    Fuel
    -0.63
     Salvation
    -0.62
    POSITIVE LOGITS
     fe
    1.16
    ldom
    1.07
    ewitness
    0.98
    ete
    0.93
    elin
    0.92
    erate
    0.91
    ery
    0.87
    eling
    0.85
    alty
    0.84
     pas
    0.84
    Activations Density 0.009%

    No Known Activations