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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. 2-RES-JB
    11. 15593
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    INDEX
    Explanations

    mentions of situations or scenarios that are challenging or problematic

    oai_token-act-pair · gpt-3.5-turbo

    expressions indicating challenges or difficulties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ript
    -0.79
    endar
    -0.72
    lov
    -0.71
     Expend
    -0.70
    dust
    -0.70
    ithing
    -0.69
    sing
    -0.66
    OVA
    -0.63
    ablishment
    -0.63
    eret
    -0.63
    POSITIVE LOGITS
    icult
    1.16
    ioned
    0.91
     adolesc
    0.85
    entimes
    0.84
     enough
    0.79
     difficulties
    0.78
     proble
    0.76
     difficult
    0.75
    itud
    0.75
     burdens
    0.75
    Activations Density 0.028%

    No Known Activations