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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. 7-RES-JB
    11. 24040
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    Explanations

    numerical averages in points and rebounds in a sports context

    oai_token-act-pair · gpt-3.5-turbo

    decimal numbers and their related statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     handshake
    -0.63
     advis
    -0.63
     asylum
    -0.58
    ļéĨĴ
    -0.58
     cyclist
    -0.57
     shake
    -0.56
     welfare
    -0.56
     gad
    -0.55
     swim
    -0.55
     PTS
    -0.55
    POSITIVE LOGITS
    0
    1.07
    5
    1.04
    8
    1.02
    9
    1.01
    6
    0.99
    7
    0.95
    50
    0.95
    38
    0.92
    53
    0.92
    3
    0.91
    Activations Density 0.128%

    No Known Activations