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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. 20663
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    Explanations

    phrases related to social issues and societal structures

    oai_token-act-pair · gpt-3.5-turbo

    repeated conjunctions emphasizing connections and relationships

    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
    noon
    -0.75
    PK
    -0.72
    ixel
    -0.71
    poke
    -0.69
    :(
    -0.69
    rb
    -0.68
    940
    -0.68
    Beg
    -0.66
    ESH
    -0.66
    ._
    -0.63
    POSITIVE LOGITS
     etc
    1.12
    etc
    1.10
     assorted
    1.05
     others
    0.82
    whatever
    0.78
     other
    0.77
     possibly
    0.73
    ĪĴ
    0.73
     kindred
    0.69
     ect
    0.67
    Activations Density 0.208%

    No Known Activations