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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. 21442
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    Explanations

    engagement cues like feedback requests and invitations for thoughts or opinions

    oai_token-act-pair · gpt-3.5-turbo

    requests for feedback and expressions of support

    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
    ãĥ¼ãĥĨãĤ£
    -0.81
    alled
    -0.71
     Canaver
    -0.68
    WithNo
    -0.61
    ufact
    -0.61
    trap
    -0.59
    inventoryQuantity
    -0.58
     misunder
    -0.57
     intrins
    -0.57
    atton
    -0.57
    POSITIVE LOGITS
    !
    1.20
     :)
    1.12
    !:
    1.09
     ðŁĻĤ
    1.05
    !.
    1.05
    !!
    1.04
     :-)
    1.02
    !!!
    0.99
     ðŁij
    0.99
     !
    0.92
    Activations Density 0.170%

    No Known Activations