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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. 7-RES-JB
    11. 9932
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    INDEX
    Explanations

    proper nouns and specific numerical values

    oai_token-act-pair · gpt-3.5-turbo

    specific names or identifiers related to people and groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    edIn
    -0.67
     partName
    -0.65
    iatus
    -0.62
    ZI
    -0.60
    tnc
    -0.59
     Parameters
    -0.58
    isphere
    -0.58
     sshd
    -0.57
    forcement
    -0.57
    ixties
    -0.56
    POSITIVE LOGITS
    etheless
    0.99
    anwhile
    0.76
     latter
    0.73
    theless
    0.70
    ngth
    0.67
    È
    0.61
    ++)
    0.60
    pend
    0.59
    cknow
    0.58
    ther
    0.57
    Activations Density 0.144%

    No Known Activations