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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. 4894
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    INDEX
    Explanations

    numerical values indicating statistical measures of performance or achievement

    oai_token-act-pair · gpt-3.5-turbo

    terms related to career statistics

    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
    yg
    -0.81
    bite
    -0.73
     Lumpur
    -0.73
    aco
    -0.70
    selage
    -0.69
    atories
    -0.68
    nery
    -0.68
    agger
    -0.68
    akens
    -0.67
    yout
    -0.66
    POSITIVE LOGITS
     record
    0.81
     tally
    0.76
    ahime
    0.74
     highs
    0.73
     totals
    0.73
     progression
    0.72
     predec
    0.71
    mine
    0.70
    Record
    0.70
     ERA
    0.70
    Activations Density 0.017%

    No Known Activations