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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. 7-RES-JB
    11. 13945
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    Explanations

    phrases related to distinct characteristics or qualities

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize the existence or state of being

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itches
    -0.72
    isions
    -0.69
     Ends
    -0.68
     remarks
    -0.68
     Carib
    -0.67
    Numbers
    -0.64
    RAY
    -0.64
     Benn
    -0.63
    eers
    -0.63
    udeau
    -0.63
    POSITIVE LOGITS
     supposed
    1.10
    nt
    1.05
     comprised
    0.92
     currently
    0.91
     prone
    0.90
     rooted
    0.88
     meant
    0.88
     antit
    0.88
     compatible
    0.88
     destined
    0.87
    Activations Density 0.172%

    No Known Activations