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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. 4737
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    INDEX
    Explanations

    mentions related to specific styles or aspects of style

    oai_token-act-pair · gpt-3.5-turbo

    references to various styles in different contexts

    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
    orb
    -0.76
    MS
    -0.70
    enary
    -0.70
    bley
    -0.70
    ajor
    -0.68
    VEN
    -0.68
    riel
    -0.67
    eor
    -0.67
    ertodd
    -0.67
    ora
    -0.66
    POSITIVE LOGITS
    heet
    0.87
    ologies
    0.87
     sheets
    0.83
     sheet
    0.80
     cues
    0.78
     preference
    0.78
     guides
    0.76
     guide
    0.75
    face
    0.75
     guideline
    0.71
    Activations Density 0.048%

    No Known Activations