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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. 1784
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    Explanations

    references to when something is visually displayed or presented

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "shown" indicating visual representation or display in a context

    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
    tymology
    -0.80
    lly
    -0.74
    ilit
    -0.73
    etheless
    -0.73
    osate
    -0.69
    kson
    -0.69
    entric
    -0.69
    ascus
    -0.68
    pton
    -0.68
    idian
    -0.68
    POSITIVE LOGITS
     Thumbnails
    0.99
    ered
    0.99
    runners
    0.85
    ¶æ
    0.79
     flashes
    0.79
    rooms
    0.77
    shows
    0.73
    Haunted
    0.73
    @#
    0.72
     prominently
    0.70
    Activations Density 0.041%

    No Known Activations