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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. 16365
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    Explanations

    numbers and symbols in a structured format similar to listings or bullet points

    oai_token-act-pair · gpt-3.5-turbo

    monetary values and financial terms

    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
     proverb
    -0.80
     disg
    -0.79
    .}
    -0.76
     .)
    -0.74
     comprom
    -0.74
     notor
    -0.70
     somew
    -0.69
     appre
    -0.67
    ''.
    -0.67
     condem
    -0.67
    POSITIVE LOGITS
    DAQ
    0.77
    ãĥ©ãĥ³
    0.72
    ت
    0.72
    ée
    0.71
    jamin
    0.70
    iya
    0.70
    ãĥ»
    0.70
    alions
    0.69
    ÑĤ
    0.68
    çļ
    0.67
    Activations Density 0.439%

    No Known Activations