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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. 4-RES-JB
    11. 22237
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    Explanations

    words related to possibilities, inevitability, benefits, and exceptions

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to pressure, possibility, and benefits in various contexts

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

    No Comments

    Negative Logits
    dry
    -0.69
    cedes
    -0.68
    Broad
    -0.67
    busters
    -0.67
    ĺ
    -0.66
     srfAttach
    -0.65
    friend
    -0.65
    Commun
    -0.65
    ahime
    -0.64
    buster
    -0.64
    POSITIVE LOGITS
     overlap
    0.92
     shortage
    0.84
     difference
    0.82
     waiting
    0.80
     discrepancy
    0.80
     lurking
    0.79
     mismatch
    0.78
     disagreement
    0.76
     temptation
    0.76
     unanim
    0.74
    Activations Density 0.503%

    No Known Activations