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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. 1950
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    Explanations

    phrases related to conflict and disruption

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to conflict or breaking situations

    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
    anwhile
    -0.73
     vetoed
    -0.70
    jab
    -0.69
    umbo
    -0.67
    piece
    -0.67
     wisely
    -0.67
    pees
    -0.67
    bnb
    -0.66
    sbm
    -0.66
    apest
    -0.65
    POSITIVE LOGITS
    Sax
    0.78
     membranes
    0.72
    REE
    0.70
    Wan
    0.69
    olid
    0.68
     renal
    0.68
    ð
    0.68
     stride
    0.66
     membrane
    0.65
    VERT
    0.65
    Activations Density 0.161%

    No Known Activations