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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. 15544
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    Explanations

    entities or terms related to formal names and legal matters

    oai_token-act-pair · gpt-3.5-turbo

    words related to various forms of "ity," indicating states or qualities

    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
    auder
    -0.78
    kef
    -0.77
    odium
    -0.77
    inav
    -0.76
    accompan
    -0.75
    ask
    -0.73
    hester
    -0.70
    akespe
    -0.69
    yrinth
    -0.68
    ascade
    -0.67
    POSITIVE LOGITS
     Peb
    0.82
     Pwr
    0.73
    -------
    0.73
    fulness
    0.71
    Hash
    0.68
    yy
    0.67
     Principle
    0.65
    ful
    0.65
     Reserved
    0.65
    phal
    0.65
    Activations Density 0.028%

    No Known Activations