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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. 16474
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    Explanations

    names or words containing the sequence "ame"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the substring "ame"

    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
    ummer
    -0.74
    angers
    -0.71
    aceous
    -0.70
     tremend
    -0.60
    ools
    -0.60
    oulos
    -0.60
    keye
    -0.59
    abies
    -0.58
     Jung
    -0.58
    keyes
    -0.58
    POSITIVE LOGITS
    leon
    1.32
    lled
    1.07
    llan
    1.01
    ez
    0.96
    lling
    0.89
    eh
    0.87
    ll
    0.87
    e
    0.85
    lli
    0.84
    ña
    0.82
    Activations Density 0.035%

    No Known Activations