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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. 7-RES-JB
    11. 14160
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    INDEX
    Explanations

    jobs or employment-related terms

    oai_token-act-pair · gpt-3.5-turbo

    concerns related to employment and opportunities

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    AG
    -0.81
    è¡
    -0.72
    Tweet
    -0.72
    Answer
    -0.71
    Tag
    -0.71
    Gab
    -0.68
    ags
    -0.68
    ÑĤ
    -0.67
     Hip
    -0.66
     Ticket
    -0.66
    POSITIVE LOGITS
    anwhile
    0.84
    bled
    0.80
     alot
    0.73
     paran
    0.73
    nton
    0.72
     bye
    0.67
     GOODMAN
    0.66
     undecided
    0.66
     additionally
    0.65
    umen
    0.65
    Activations Density 0.374%

    No Known Activations