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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. 13715
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    INDEX
    Explanations

    exclamatory statements

    oai_token-act-pair · gpt-3.5-turbo

    exclamatory sentences or expressions of strong emotions

    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
    undai
    -0.81
     glim
    -0.66
    yrus
    -0.66
    itates
    -0.66
     troubled
    -0.64
     compromises
    -0.64
    itated
    -0.64
     restraints
    -0.63
    vati
    -0.63
     utilitarian
    -0.63
    POSITIVE LOGITS
    @#&
    1.50
    ?!
    1.35
    #$
    1.20
    ãĢį
    1.12
    @#
    1.11
     ðŁĺ
    1.10
     :-)
    1.09
     :)
    1.07
     ðŁĻĤ
    1.05
     ;)
    0.98
    Activations Density 0.101%

    No Known Activations