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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. 2-RES-JB
    11. 15150
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    Explanations

    locations or places

    oai_token-act-pair · gpt-3.5-turbo

    mentions of geographical locations or place names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    amount
    -0.86
    ties
    -0.81
    hips
    -0.77
    haw
    -0.77
    loss
    -0.76
    ifiable
    -0.75
    inus
    -0.75
    aldi
    -0.73
    gravity
    -0.73
    acies
    -0.72
    POSITIVE LOGITS
    ña
    0.76
    xual
    0.72
    ño
    0.71
     Ventura
    0.69
    conservancy
    0.68
    486
    0.68
    EStream
    0.67
    ĺħ
    0.66
    pty
    0.66
     Cowboy
    0.65
    Activations Density 0.036%

    No Known Activations