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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 13339
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    Explanations

    verbs related to persuasive actions or influence

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to attempts or actions

    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
    ccording
    -0.61
    ormonal
    -0.58
    Higher
    -0.54
     millenn
    -0.53
    ergy
    -0.53
     difference
    -0.52
    economic
    -0.52
    ependent
    -0.51
    financial
    -0.51
    idia
    -0.50
    POSITIVE LOGITS
    soDeliveryDate
    0.68
    Redditor
    0.61
    ombat
    0.61
     himself
    0.60
     Paste
    0.58
    rawdownloadcloneembedreportprint
    0.58
     herself
    0.57
    ="#
    0.55
     Sketch
    0.54
     Himself
    0.54
    Activations Density 1.431%

    No Known Activations