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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. 10-RES-JB
    11. 5403
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    Explanations

    numbers related to prices or percentages

    oai_token-act-pair · gpt-3.5-turbo

    numerical percentages related to financial data or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     remem
    -0.72
    amera
    -0.64
    geries
    -0.61
    rera
    -0.60
    ario
    -0.59
    bett
    -0.58
     corridors
    -0.57
     FIG
    -0.55
     recre
    -0.55
    icken
    -0.55
    POSITIVE LOGITS
    /+
    1.53
    /-
    1.31
     sqor
    1.03
    dB
    0.99
    -+-+-+-+
    0.90
    ï¸ı
    0.86
    ,-
    0.82
    --+
    0.82
    -+-+
    0.81
     dB
    0.79
    Activations Density 0.055%

    No Known Activations