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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. 11-RES-JB
    11. 1155
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    Explanations

    phrases related to spatial relationships or directions

    oai_token-act-pair · gpt-3.5-turbo

    instances of spatial or locational descriptors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    \<
    -0.86
     [+
    -0.85
     Regarding
    -0.81
     Secondly
    -0.75
     secondly
    -0.75
     Whilst
    -0.74
    ?".
    -0.73
     ðŁĻĤ
    -0.72
     Saying
    -0.72
    ":"/
    -0.71
    POSITIVE LOGITS
     myriad
    1.15
     disparate
    1.09
     countless
    1.08
     innumerable
    1.07
     intricate
    1.03
     each
    1.03
     towering
    1.01
     endless
    1.00
     dozens
    0.98
     assorted
    0.97
    Activations Density 0.627%

    No Known Activations