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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. 1307
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    INDEX
    Explanations

    phrases related to repeated actions or behaviors

    oai_token-act-pair · gpt-3.5-turbo

    references to recurring behaviors or tendencies

    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
    zac
    -0.66
    scl
    -0.63
    oÄŁ
    -0.63
    cross
    -0.63
    sie
    -0.63
     fairness
    -0.62
    equal
    -0.61
    NZ
    -0.60
    cale
    -0.59
    headers
    -0.58
    POSITIVE LOGITS
    ually
    1.27
    uation
    1.20
    uated
    1.17
    uate
    1.06
    uating
    0.97
    uates
    0.93
    itious
    0.93
     habits
    0.89
    ivated
    0.81
    uous
    0.78
    Activations Density 0.076%

    No Known Activations