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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. 8-RES-JB
    11. 14209
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    INDEX
    Explanations

    phrases indicating a lack of information or specificity

    oai_token-act-pair · gpt-3.5-turbo

    expressions of uncertainty or indecision about specifics

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    Zone
    -0.79
    ocene
    -0.77
    thal
    -0.77
    imum
    -0.75
    usalem
    -0.75
    onite
    -0.73
    Think
    -0.73
    mud
    -0.71
    aintain
    -0.66
    tumblr
    -0.66
    POSITIVE LOGITS
     specifics
    1.13
     confir
    0.92
     exact
    0.86
     looph
    0.85
     specific
    0.85
     extent
    0.84
     reimburse
    0.78
     particulars
    0.76
     exactly
    0.76
     nor
    0.76
    Activations Density 0.206%

    No Known Activations