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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. 22443
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    Explanations

    code-related terms or syntax patterns

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the substring "de"

    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
     BaseType
    -0.76
    hips
    -0.71
    tons
    -0.70
    sit
    -0.66
    ograp
    -0.64
     Intermediate
    -0.64
    ograph
    -0.63
    iott
    -0.63
    iggins
    -0.63
    ouston
    -0.63
    POSITIVE LOGITS
    ploy
    1.40
    utsche
    1.38
    leted
    1.27
    cember
    1.20
    legate
    1.16
    legates
    1.13
    FAULT
    1.13
    bris
    1.09
    vel
    1.08
    forestation
    1.08
    Activations Density 0.036%

    No Known Activations