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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. 9-RES-JB
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    Explanations

    expressions related to fear and concern

    oai_token-act-pair · gpt-3.5-turbo

    expressions of fear or concern

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 9 - fear

    No Comments

    Negative Logits
    çĦ
    -0.80
    nice
    -0.79
    Poké
    -0.70
    elta
    -0.69
    slice
    -0.69
    pta
    -0.67
    exc
    -0.66
    emark
    -0.65
    ema
    -0.65
    figure
    -0.65
    POSITIVE LOGITS
     lest
    1.08
     retribution
    1.08
     repercussions
    0.94
    lessly
    0.90
     repr
    0.88
     retaliation
    0.85
     aloud
    0.79
     losing
    0.75
     imminent
    0.74
     spoilers
    0.74
    Activations Density 0.081%

    No Known Activations