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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. 4-RES-JB
    11. 17165
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    Explanations

    words related to a specific company, "Westinghouse"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "house" in various contexts

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

    No Comments

    Negative Logits
    istically
    -0.77
    umbo
    -0.74
     Username
    -0.68
    TAG
    -0.66
    ombie
    -0.65
    PsyNetMessage
    -0.63
     DPR
    -0.63
     Archdemon
    -0.62
     Alert
    -0.62
    */(
    -0.61
    POSITIVE LOGITS
    hold
    1.13
    wife
    1.09
    wives
    1.07
    door
    1.02
    holders
    0.96
    warming
    0.95
    holder
    0.93
    keeping
    0.89
    ¢
    0.82
    marks
    0.80
    Activations Density 0.012%

    No Known Activations