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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. 6-RES-JB
    11. 4104
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    Explanations

    numbers and codes commonly associated with identification or categorization

    oai_token-act-pair · gpt-3.5-turbo

    the presence of the word "no" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iership
    -0.77
    minster
    -0.75
    tnc
    -0.71
    realDonaldTrump
    -0.69
    RAFT
    -0.67
    rosse
    -0.66
    rious
    -0.64
    erity
    -0.63
    tein
    -0.61
    lycer
    -0.60
    POSITIVE LOGITS
    xious
    1.17
     longer
    0.95
    emi
    0.92
    oses
    0.88
    zzle
    0.88
    ct
    0.87
    obs
    0.85
    vel
    0.84
     matter
    0.84
    vell
    0.83
    Activations Density 0.062%

    No Known Activations