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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. 10940
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    Explanations

    mentions of universities and colleges

    oai_token-act-pair · gpt-3.5-turbo

    mentions of universities and their locations

    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
    20439
    -0.71
    ————————
    -0.67
    ãĥķãĤ©
    -0.64
     "$:/
    -0.61
     Colin
    -0.58
    emen
    -0.58
    wow
    -0.58
    dad
    -0.57
    .?
    -0.55
    Anonymous
    -0.55
    POSITIVE LOGITS
    duction
    0.65
    mberg
    0.65
     targ
    0.63
    oscope
    0.62
    ertodd
    0.62
    ŃĶ
    0.60
    ĸļ
    0.59
    azines
    0.58
    yang
    0.58
     runway
    0.57
    Activations Density 0.151%

    No Known Activations