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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. 5037
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    Explanations

    words related to feelings of concern or anxiety

    oai_token-act-pair · gpt-3.5-turbo

    expressions of concern or anxiety

    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
    artifacts
    -0.88
    inters
    -0.79
    adr
    -0.73
    guided
    -0.73
    end
    -0.72
    availability
    -0.71
    change
    -0.70
    assisted
    -0.69
    ende
    -0.69
    got
    -0.68
    POSITIVE LOGITS
     worried
    0.84
     citiz
    0.79
     schizophren
    0.76
     worry
    0.76
     Moody
    0.75
     fret
    0.74
     bells
    0.71
     Carmen
    0.71
     afraid
    0.69
    Msg
    0.67
    Activations Density 0.022%

    No Known Activations