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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. 4836
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    Explanations

    phrases related to responses in a formal setting

    oai_token-act-pair · gpt-3.5-turbo

    dialogue or responses in conversations

    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
    inav
    -0.72
     pioneers
    -0.66
     eleph
    -0.66
    population
    -0.65
     Scandinav
    -0.63
    thood
    -0.61
    ankind
    -0.59
    士
    -0.58
    nect
    -0.57
     Dracula
    -0.57
    POSITIVE LOGITS
    Asked
    0.84
    answered
    0.77
     perjury
    0.76
     clarification
    0.71
     Asked
    0.70
     contradicted
    0.69
     moderator
    0.69
     Politico
    0.68
     replied
    0.67
     citing
    0.67
    Activations Density 1.370%

    No Known Activations