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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. 9-RES-JB
    11. 20196
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    INDEX
    Explanations

    mentions of touch-related technologies and features

    oai_token-act-pair · gpt-3.5-turbo

    references to touch technology and interfaces

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheus
    -0.74
     Clown
    -0.72
    ais
    -0.69
    ^^^^
    -0.68
    д
    -0.68
    ruary
    -0.65
    USS
    -0.65
    swick
    -0.64
     [|
    -0.64
    ja
    -0.63
    POSITIVE LOGITS
    stones
    1.20
    stone
    1.13
    Arcade
    1.08
    pad
    1.07
    down
    0.91
    downs
    0.88
    screen
    0.86
    points
    0.80
    cards
    0.76
    card
    0.76
    Activations Density 0.037%

    No Known Activations