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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. 4-RES-JB
    11. 448
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    Explanations

    details and specific visual descriptions in texts

    oai_token-act-pair · gpt-3.5-turbo

    references to a high level of detail or intricacy in descriptions

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

    No Comments

    Negative Logits
    onz
    -0.78
    ammers
    -0.76
    nder
    -0.74
    orea
    -0.70
    anski
    -0.70
    mire
    -0.68
    aden
    -0.65
    reath
    -0.65
    emouth
    -0.65
    si
    -0.64
    POSITIVE LOGITS
     detail
    1.17
     details
    0.96
     Detail
    0.87
    iveness
    0.76
    ariat
    0.73
     marks
    0.73
     Details
    0.71
     particulars
    0.70
    displayText
    0.70
     settings
    0.68
    Activations Density 0.013%

    No Known Activations