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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. 3798
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    INDEX
    Explanations

    determiners or articles followed by descriptive terms

    oai_token-act-pair · gpt-3.5-turbo

    complex phrases related to the purpose and impact of actions or policies

    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
    *:
    -0.68
    +.
    -0.65
    .:
    -0.61
    ';
    -0.61
    !:
    -0.59
    :,
    -0.58
    !.
    -0.58
    '';
    -0.57
    .?
    -0.55
    ':
    -0.54
    POSITIVE LOGITS
    pires
    0.57
    Mot
    0.56
    pired
    0.55
     )]
    0.53
    Mom
    0.46
     differed
    0.45
    irgin
    0.45
    states
    0.44
     FF
    0.44
    DCS
    0.44
    Activations Density 1.370%

    No Known Activations