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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
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    Explanations

    references to scholars or scholars in a variety of contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of scholars and academia

    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
     Labrador
    -0.76
     territ
    -0.66
     999
    -0.64
     annexation
    -0.63
     Predators
    -0.60
     Ventura
    -0.59
     takeoff
    -0.59
     mountainous
    -0.59
     parade
    -0.59
     proportional
    -0.59
    POSITIVE LOGITS
    sonian
    1.37
     scholar
    1.06
     scholars
    1.05
     Scholars
    1.05
    hip
    1.02
    olars
    1.02
    itatively
    0.94
     laureate
    0.89
    abilia
    0.82
     Scholar
    0.82
    Activations Density 0.021%

    No Known Activations