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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. 2242
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    Explanations

    personal pronouns followed by verbs indicating actions.

    oai_token-act-pair · gpt-3.5-turbo

    pronouns and proper nouns indicating specific subjects or agents in the text

    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
    isher
    -0.72
     Amen
    -0.72
     Azerb
    -0.64
    SpaceEngineers
    -0.63
    ormal
    -0.63
    shore
    -0.63
    else
    -0.62
     Else
    -0.60
    north
    -0.60
    imp
    -0.59
    POSITIVE LOGITS
    've
    0.93
    'll
    0.76
    'd
    0.74
     owe
    0.71
    're
    0.71
    self
    0.70
    selves
    0.69
     KNOW
    0.68
    pherd
    0.67
    uristic
    0.65
    Activations Density 0.418%

    No Known Activations