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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. 1-RES-JB
    11. 9364
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    Explanations

    words related to measurements of size

    oai_token-act-pair · gpt-3.5-turbo

    terms related to dimensions or measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    andum
    -0.69
    plet
    -0.65
    zie
    -0.65
    unes
    -0.64
    vernment
    -0.63
     bodily
    -0.63
    OTA
    -0.62
    ovie
    -0.62
    ruption
    -0.60
    ectomy
    -0.60
    POSITIVE LOGITS
     width
    1.19
     Width
    1.09
    width
    1.07
    Width
    0.94
    sheets
    0.86
    ï¸
    0.83
    sd
    0.83
    sheet
    0.82
     actionGroup
    0.82
    pread
    0.79
    Activations Density 0.008%

    No Known Activations