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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. 6427
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    Explanations

    phrases related to actions or operations being performed by someone

    oai_token-act-pair · gpt-3.5-turbo

    verbs indicating actions or contributions

    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
    adj
    -0.74
    MJ
    -0.65
    States
    -0.65
    rish
    -0.65
    hl
    -0.64
    fw
    -0.63
    Ranked
    -0.62
    esp
    -0.61
     remembers
    -0.60
    hart
    -0.60
    POSITIVE LOGITS
     numerous
    0.79
     countless
    0.75
     extensively
    0.69
     plenty
    0.69
     sufficiently
    0.68
     lately
    0.68
     since
    0.67
     innumerable
    0.66
     enough
    0.66
     considerable
    0.64
    Activations Density 0.414%

    No Known Activations