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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. 11-RES-JB
    11. 13034
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    INDEX
    Explanations

    words related to actions of "remaking" or "remastering."

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "rem" and its variations, indicating a focus on topics related to remediation or reformation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     gum
    -0.72
    FORE
    -0.61
    glers
    -0.60
     stall
    -0.60
     modern
    -0.60
    à¼
    -0.60
    liest
    -0.60
     hint
    -0.59
     Syl
    -0.58
     dipping
    -0.58
    POSITIVE LOGITS
    ittance
    1.40
    uner
    1.40
    unicip
    1.26
    itt
    1.24
    oter
    1.21
    ixed
    1.13
    issions
    1.13
    ilit
    1.12
    aterial
    1.12
    ould
    1.12
    Activations Density 0.017%

    No Known Activations