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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 14734
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    Explanations

    the word "jam" in different contexts and forms

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "jam" and related context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Equality
    -0.67
     Kubrick
    -0.66
     deed
    -0.63
     Schwar
    -0.62
    ledged
    -0.61
     dividend
    -0.61
     reconc
    -0.60
     Armen
    -0.60
     Ambrose
    -0.59
     occup
    -0.57
    POSITIVE LOGITS
    ming
    1.39
    mer
    1.15
    mers
    0.99
    nit
    0.96
    ison
    0.95
    monds
    0.94
    eworks
    0.93
    pered
    0.93
    antine
    0.92
    pering
    0.90
    Activations Density 0.026%

    No Known Activations