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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. 20604
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    INDEX
    Explanations

    words related to evoking emotions or reactions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to evocation or emotional imagery

    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
     Lub
    -0.66
    sonian
    -0.65
    essors
    -0.63
     course
    -0.62
     Trudeau
    -0.59
     HH
    -0.59
     error
    -0.58
     Conv
    -0.58
    ī
    -0.57
    inance
    -0.57
    POSITIVE LOGITS
    oking
    1.19
    oked
    0.97
    oke
    0.93
    amera
    0.82
    ookie
    0.79
    otine
    0.78
    EAR
    0.77
    hots
    0.77
    creen
    0.76
    oker
    0.74
    Activations Density 0.016%

    No Known Activations