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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. 1-RES-JB
    6. 14888
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    INDEX
    Explanations

    phrases or words relating to explosive or impactful actions being executed

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate removal or disconnection

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Export
    -0.83
    anners
    -0.72
    otive
    -0.71
    geist
    -0.64
    tone
    -0.63
    ilic
    -0.62
    elsius
    -0.61
    rite
    -0.60
    iosyncr
    -0.60
    ancial
    -0.60
    POSITIVE LOGITS
     Broadway
    0.79
    cffffcc
    0.71
    shore
    0.64
    shoot
    0.63
    season
    0.63
    ansas
    0.62
     dun
    0.62
    hand
    0.61
    ibaba
    0.60
     waivers
    0.60
    Activations Density 0.036%

    No Known Activations