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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. 1-RES-JB
    11. 5453
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    Explanations

    relevant to the action of gathering or selecting smaller parts or portions from a larger whole

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sampling processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    paragraph
    -0.78
    cel
    -0.75
    sup
    -0.71
    talk
    -0.71
    peria
    -0.67
    tar
    -0.66
    vous
    -0.65
    development
    -0.65
    runner
    -0.65
    entity
    -0.65
    POSITIVE LOGITS
     sampling
    1.31
     sampled
    0.95
    pling
    0.88
     polls
    0.79
     samples
    0.77
     Sample
    0.74
     surveys
    0.73
    DragonMagazine
    0.72
     baskets
    0.72
    auder
    0.72
    Activations Density 0.012%

    No Known Activations