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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. 13528
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    Explanations

    phrases indicating a large quantity or abundance of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize the frequency or abundance of something

    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
    rift
    -0.84
    ando
    -0.82
    heid
    -0.79
    tein
    -0.77
    perty
    -0.76
    irtual
    -0.75
    haps
    -0.72
    endants
    -0.70
    hent
    -0.70
    zek
    -0.67
    POSITIVE LOGITS
     Maul
    0.73
     alot
    0.71
     partName
    0.71
     amount
    0.68
     Deity
    0.68
     amounts
    0.68
     Moose
    0.66
     MUCH
    0.66
     surpr
    0.63
    icult
    0.63
    Activations Density 0.042%

    No Known Activations