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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. 19401
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    Explanations

    numerical values with associated measurement units

    oai_token-act-pair · gpt-3.5-turbo

    quantitative data related to temperatures and measurement errors

    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
    soDeliveryDate
    -0.96
    acea
    -0.80
    okin
    -0.80
    otrop
    -0.79
    ogl
    -0.79
    ĸļ
    -0.78
    abies
    -0.78
    uers
    -0.78
    ierre
    -0.77
    uchs
    -0.73
    POSITIVE LOGITS
    /-
    1.13
    /+
    1.03
     (-
    0.95
    ±
    0.84
     (+
    0.81
    _-
    0.79
    mint
    0.74
    cffffcc
    0.72
    (-
    0.71
    --+
    0.68
    Activations Density 0.009%

    No Known Activations