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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. 3-RES-JB
    11. 23456
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    INDEX
    Explanations

    repetitive patterns or sequences related to computation, commands, or data processing

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to various forms of representation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Brist
    -0.72
    istically
    -0.72
     Galile
    -0.67
    gaard
    -0.66
    scape
    -0.65
    ahime
    -0.65
    liners
    -0.64
     Aval
    -0.64
     Firefly
    -0.63
     Grounds
    -0.63
    POSITIVE LOGITS
    ublic
    1.47
    resents
    1.17
    orters
    1.15
    atri
    1.15
    rint
    1.12
    onse
    0.99
    ribut
    0.99
    utations
    0.97
    utation
    0.92
    aints
    0.92
    Activations Density 0.009%

    No Known Activations