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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. 8523
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    INDEX
    Explanations

    instances of the word "excessive"

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to excessive behavior or actions

    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
    ector
    -0.86
    stone
    -0.82
    stones
    -0.80
    iens
    -0.77
    rooms
    -0.75
    ians
    -0.75
    ois
    -0.75
    arian
    -0.75
    SB
    -0.74
    ect
    -0.72
    POSITIVE LOGITS
     indul
    0.85
     excessive
    0.84
     reliance
    0.83
     burdens
    0.81
     burden
    0.79
     simplistic
    0.77
     aggressive
    0.77
     infl
    0.75
     amounts
    0.73
     overd
    0.73
    Activations Density 0.063%

    No Known Activations