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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. 6468
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    Explanations

    expressions of preference or liking

    oai_token-act-pair · gpt-3.5-turbo

    expressions of personal preferences or affinities

    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
    artney
    -0.77
    elle
    -0.71
     Seah
    -0.67
    ¯¯¯¯
    -0.65
    Args
    -0.64
    FU
    -0.64
    bum
    -0.61
    patch
    -0.58
     ///
    -0.58
    Loading
    -0.56
    POSITIVE LOGITS
     myself
    0.85
    76561
    0.83
    tarian
    0.79
     sugg
    0.75
     reiterate
    0.72
    lihood
    0.71
     summarize
    0.71
    displayText
    0.70
     dearly
    0.69
    rals
    0.69
    Activations Density 0.127%

    No Known Activations