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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. 11-RES-JB
    11. 22256
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    Explanations

    phrases indicating a deeper exploration or investigation into a topic

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to exploration or investigation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    olson
    -0.64
    Frames
    -0.63
    accompan
    -0.62
    ¥µ
    -0.60
     Olympia
    -0.58
     Palestin
    -0.58
    RIP
    -0.58
    minus
    -0.58
     Proud
    -0.57
    iHUD
    -0.57
    POSITIVE LOGITS
     deeper
    1.53
     into
    1.29
     depths
    1.09
     deep
    1.04
     deeply
    1.02
    depth
    1.02
     Into
    1.00
    into
    0.95
     INTO
    0.95
     holes
    0.94
    Activations Density 0.152%

    No Known Activations