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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. 3-RES-JB
    11. 9198
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    INDEX
    Explanations

    phrases related to societal problems and interventions

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and conjunctions that indicate connections between thoughts or clauses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ¬¼
    -0.71
    tsky
    -0.71
    ety
    -0.69
    rament
    -0.64
    iple
    -0.64
    assed
    -0.63
    raved
    -0.63
    itus
    -0.63
    §
    -0.62
    eni
    -0.61
    POSITIVE LOGITS
     etc
    1.28
     respectively
    1.16
     albeit
    1.10
     including
    1.10
     thereby
    1.07
     namely
    1.04
     whereas
    0.99
     aka
    0.94
     regardless
    0.93
     preferably
    0.92
    Activations Density 1.268%

    No Known Activations