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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. 6-RES-JB
    6. 7330
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    Explanations

    words related to shaping or influencing outcomes and developments

    oai_token-act-pair · gpt-3.5-turbo

    terms related to shaping or influencing systems and outcomes

    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
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    Negative Logits
    nih
    -0.75
    eas
    -0.65
    gypt
    -0.64
    olit
    -0.63
    uders
    -0.63
    after
    -0.63
    blers
    -0.62
    bestos
    -0.61
    tw
    -0.61
    ydia
    -0.61
    POSITIVE LOGITS
     shaping
    0.86
     perceptions
    0.85
     our
    0.76
    FontSize
    0.71
     opinions
    0.70
     decisions
    0.70
     debates
    0.69
     conversations
    0.67
     development
    0.66
    ĺħ
    0.66
    Activations Density 0.183%

    No Known Activations