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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. 21847
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    Explanations

    code snippets or technical data containing specific numerical values

    oai_token-act-pair · gpt-3.5-turbo

    numerical information, particularly in scientific and statistical contexts

    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
     metic
    -0.77
     OFF
    -0.77
     ANGEL
    -0.73
     GREEN
    -0.70
    IGHTS
    -0.69
     ALE
    -0.69
     FOX
    -0.68
     AS
    -0.68
     HA
    -0.68
     CARE
    -0.66
    POSITIVE LOGITS
    b
    1.48
    n
    1.47
    f
    1.46
    c
    1.45
    p
    1.44
    l
    1.44
    d
    1.42
    t
    1.40
    h
    1.37
    v
    1.34
    Activations Density 0.215%

    No Known Activations