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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. 3-RES-JB
    11. 20027
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    INDEX
    Explanations

    continuations or sequels in text

    oai_token-act-pair · gpt-3.5-turbo

    repeated phrases about stories or narratives continuing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    idden
    -0.80
    ool
    -0.76
    lier
    -0.72
    wit
    -0.70
    workers
    -0.67
    ools
    -0.67
    ickson
    -0.67
    conn
    -0.66
    onomic
    -0.65
    anas
    -0.65
    POSITIVE LOGITS
     unab
    0.86
    ilver
    0.76
     tremend
    0.70
    ...]
    0.69
     unanswered
    0.68
    usp
    0.67
     ende
    0.66
     deterior
    0.66
     Continued
    0.65
     steadily
    0.65
    Activations Density 0.025%

    No Known Activations