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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. 19523
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    Explanations

    mentions of specific entities or events

    oai_token-act-pair · gpt-3.5-turbo

    references to significant groups or actions related to war or conflict

    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
    surprisingly
    -0.70
    anwhile
    -0.69
     nonetheless
    -0.69
     unsurprisingly
    -0.63
    xtap
    -0.63
     briefly
    -0.62
    quartered
    -0.61
     strikingly
    -0.60
     pioneered
    -0.58
     famously
    -0.58
    POSITIVE LOGITS
     ..."
    1.21
    ..."
    1.05
     âĢ¦"
    1.00
    âĢ¦"
    0.99
    âĢ¦."
    0.83
    -"
    0.81
     fuckin
    0.81
    ?"
    0.80
     ['
    0.78
    ?".
    0.78
    Activations Density 1.579%

    No Known Activations