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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. 6-RES-JB
    11. 15167
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    Explanations

    words related to repetitive or continuous actions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to repetitive production or output processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mble
    -0.95
    nery
    -0.87
    esthetic
    -0.76
    hammad
    -0.73
    ropolitan
    -0.72
    ened
    -0.72
    bestos
    -0.72
    PLIED
    -0.71
    instein
    -0.70
     Lans
    -0.69
    POSITIVE LOGITS
    s
    0.90
    umbers
    0.83
    stall
    0.81
     churn
    0.79
    umber
    0.71
    ycle
    0.69
    turn
    0.69
     havoc
    0.66
    ymes
    0.65
    lust
    0.64
    Activations Density 0.041%

    No Known Activations