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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. 6-RES-JB
    11. 4128
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    INDEX
    Explanations

    phrases indicating a sufficient amount or level of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating sufficiency or adequacy

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Dash
    -0.63
    lane
    -0.62
    forth
    -0.61
    tsky
    -0.58
    MRI
    -0.57
    urring
    -0.56
    listed
    -0.56
     Rampage
    -0.56
     billed
    -0.55
    ousing
    -0.55
    POSITIVE LOGITS
    catentry
    0.76
    yt
    0.71
    avanaugh
    0.69
    ptives
    0.69
    soType
    0.67
     sidx
    0.62
    ugu
    0.62
    amins
    0.62
     lately
    0.62
    ngth
    0.61
    Activations Density 0.118%

    No Known Activations