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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. 11-RES-JB
    11. 13914
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    INDEX
    Explanations

    phrases related to negative events or situations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to severe physical injuries or emergencies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    evidence
    -0.88
     agreements
    -0.79
    notes
    -0.74
     interviews
    -0.74
     associations
    -0.73
    ographs
    -0.72
     guides
    -0.72
     arrangements
    -0.69
     committees
    -0.67
     informants
    -0.67
    POSITIVE LOGITS
     catastrophic
    0.97
     barrage
    0.93
     devastating
    0.92
     deadly
    0.89
     massive
    0.88
     severe
    0.87
     slew
    0.87
     horrendous
    0.87
     crippling
    0.86
     multitude
    0.85
    Activations Density 0.218%

    No Known Activations