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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 3872
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to academic institutions and their influence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bush
    -0.86
    nuts
    -0.84
    wallet
    -0.83
    DEN
    -0.82
    leaders
    -0.78
    nut
    -0.77
    ter
    -0.76
    comed
    -0.75
    tz
    -0.74
    stocks
    -0.74
    POSITIVE LOGITS
    enfranch
    0.85
    isition
    0.82
    isitions
    0.81
    emies
    0.80
    vernment
    0.80
    emia
    0.80
    ointed
    0.77
    emi
    0.77
    heric
    0.76
    isions
    0.76
    Activations Density 0.036%

    No Known Activations