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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. 9-RES-JB
    11. 23479
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    Explanations

    phrases and words related to assertions, opinions, or recommendations

    oai_token-act-pair · gpt-3.5-turbo

    plural nouns or collective references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tanz
    -0.64
     Amtrak
    -0.54
     Geh
    -0.51
     Aden
    -0.50
     Adin
    -0.50
     Kah
    -0.50
     Alban
    -0.50
    \\\\\\\\
    -0.49
    igon
    -0.49
    .''.
    -0.49
    POSITIVE LOGITS
    ?),
    1.07
    ?,
    1.01
    ?)
    0.94
    )?
    0.87
    >)
    0.84
    -)
    0.81
     guiActiveUnfocused
    0.80
    ?).
    0.80
     ?)
    0.79
    ]=
    0.78
    Activations Density 1.533%

    No Known Activations