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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. 9-RES-JB
    11. 8859
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    INDEX
    Explanations

    first things or initial observations in various scenarios

    oai_token-act-pair · gpt-3.5-turbo

    phrases and expressions that introduce observations or comments about experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onz
    -0.67
    ilings
    -0.66
    ped
    -0.65
    inav
    -0.64
    arer
    -0.63
    ullivan
    -0.63
    sub
    -0.61
    agog
    -0.61
    xtap
    -0.61
    ramids
    -0.60
    POSITIVE LOGITS
     happening
    0.88
     else
    0.83
     happened
    0.82
    iverse
    0.81
    Else
    0.76
     we
    0.74
     you
    0.74
     Done
    0.71
     bothering
    0.71
     happens
    0.70
    Activations Density 0.050%

    No Known Activations