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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. 10-RES-JB
    11. 4698
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    INDEX
    Explanations

    references to negative or disastrous situations

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing extreme negativity or unfavorable conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ynthesis
    -0.79
    rahim
    -0.73
    adows
    -0.73
    arya
    -0.73
    yi
    -0.72
    racuse
    -0.71
    sure
    -0.70
    uador
    -0.69
    andise
    -0.69
     Collider
    -0.69
    POSITIVE LOGITS
     nightmare
    1.15
     offenders
    1.13
     offender
    1.12
     nightmares
    1.05
     imaginable
    1.02
     mistake
    0.86
     behaved
    0.85
    worst
    0.82
     possible
    0.82
     disasters
    0.81
    Activations Density 0.066%

    No Known Activations