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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. 4-RES-JB
    11. 14297
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    Explanations

    phrases related to detailed information or reflections

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "the" and its associated context, indicating the presence of significant topics or subjects in discussions

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

    No Comments

    Negative Logits
    chester
    -0.73
    sterdam
    -0.71
    buster
    -0.68
    loads
    -0.66
     Zup
    -0.65
    reau
    -0.65
     according
    -0.64
    wash
    -0.64
    pload
    -0.63
    aneers
    -0.62
    POSITIVE LOGITS
     aforementioned
    1.22
     impending
    1.06
     latter
    1.04
     slightest
    1.03
     upcoming
    1.03
     underlying
    1.01
     outcome
    1.01
     totality
    0.98
     possibility
    0.97
     extent
    0.97
    Activations Density 0.875%

    No Known Activations