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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. 7-RES-JB
    11. 6444
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    Explanations

    proper nouns or names in sentences

    oai_token-act-pair · gpt-3.5-turbo

    citations and references in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wives
    -0.69
    owers
    -0.67
    thing
    -0.64
    wake
    -0.63
    rone
    -0.63
    lection
    -0.62
    cele
    -0.60
    illes
    -0.59
    locks
    -0.59
    folk
    -0.59
    POSITIVE LOGITS
    ometimes
    0.79
    ebted
    0.74
    omething
    0.71
     petertodd
    0.69
    hirt
    0.66
    olate
    0.66
    bits
    0.63
    HI
    0.63
    leeve
    0.63
    ilver
    0.61
    Activations Density 0.247%

    No Known Activations