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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. 3-RES-JB
    11. 18401
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    Explanations

    proper nouns or names containing the word "Hard"

    oai_token-act-pair · gpt-3.5-turbo

    the occurrence of the word "hard" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uality
    -0.88
    umbn
    -0.83
    allery
    -0.76
    amera
    -0.75
    ript
    -0.73
     Kislyak
    -0.69
     Mens
    -0.68
    reon
    -0.67
    entric
    -0.66
     Schumer
    -0.65
    POSITIVE LOGITS
    ball
    0.99
    hard
    0.94
    ened
    0.92
    balls
    0.90
    dri
    0.89
    iness
    0.87
    core
    0.87
    ware
    0.85
    disk
    0.84
    Hard
    0.83
    Activations Density 0.025%

    No Known Activations