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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. 3240
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    Explanations

    terms related to large-scale impactful events or situations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word 'huge' or its variants

    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
    merce
    -0.77
    printed
    -0.69
     Hemp
    -0.68
    netflix
    -0.68
     unbeat
    -0.63
    iph
    -0.62
    organic
    -0.61
    orescent
    -0.61
     overheard
    -0.60
    icum
    -0.60
    POSITIVE LOGITS
    uge
    1.34
    glers
    0.90
    UGE
    0.90
    uese
    0.83
    gery
    0.77
    llo
    0.76
    aten
    0.76
    rers
    0.76
    ãĥ¼ãĥĨãĤ£
    0.74
    ction
    0.74
    Activations Density 0.002%

    No Known Activations