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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. 9-RES-JB
    11. 3161
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    Explanations

    reasons or issues related to constraints or problems

    oai_token-act-pair · gpt-3.5-turbo

    terms related to problems, concerns, and issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Õ
    -0.75
    INAL
    -0.71
    ãĤ¨ãĥ«
    -0.71
    -+-+-+-+
    -0.68
    ãĥ¢
    -0.67
    Vel
    -0.67
    less
    -0.66
    Ott
    -0.65
    ãĥ³ãĤ¸
    -0.64
    ãĥª
    -0.64
    POSITIVE LOGITS
    pring
    1.10
    chool
    1.08
    etting
    1.03
    paces
    1.02
    pace
    1.01
    hops
    1.01
    heet
    1.01
    hips
    0.97
    etter
    0.95
    hip
    0.94
    Activations Density 0.497%

    No Known Activations