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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. 22833
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    Explanations

    locations and place names

    oai_token-act-pair · gpt-3.5-turbo

    the verb "be" in various forms and contexts

    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
    azines
    -0.77
     monop
    -0.72
     confir
    -0.69
     Leilan
    -0.69
    rador
    -0.66
     squeeze
    -0.65
     glide
    -0.65
     drift
    -0.64
     Ples
    -0.63
    raint
    -0.62
    POSITIVE LOGITS
    yond
    1.39
    arers
    1.14
    arer
    1.12
    cker
    1.05
    zos
    1.02
    FORE
    0.99
    ards
    0.95
    ech
    0.93
    xt
    0.93
    gotten
    0.92
    Activations Density 0.028%

    No Known Activations