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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. 12-RES-JB
    11. 4333
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    Explanations

    adjectives related to the intensity of an action or state

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    comparative and superlative adjectives and adverbs expressing degree

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yles
    -0.94
    urities
    -0.88
    士
    -0.88
    rosis
    -0.84
     Deaths
    -0.81
    ptoms
    -0.79
    Ļ½
    -0.78
    older
    -0.76
    veyard
    -0.75
     Dreams
    -0.75
    POSITIVE LOGITS
     accommodating
    1.26
     forthcoming
    1.23
     dismissive
    1.16
     proactive
    1.13
     cooperative
    1.12
     len
    1.11
     forceful
    1.11
     gracious
    1.09
     vocal
    1.09
     circum
    1.08
    Activations Density 0.210%

    No Known Activations