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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. 1820
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    Explanations

    phrases related to media content such as episode titles, movie features, and game trailers

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "of" in various contexts

    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
    REF
    -0.71
    ailability
    -0.66
     hedge
    -0.63
    overty
    -0.63
     choked
    -0.61
    20439
    -0.59
     imped
    -0.58
    Pinterest
    -0.57
     instinctively
    -0.57
    URI
    -0.57
    POSITIVE LOGITS
     each
    1.16
     this
    1.14
     tonight
    0.92
     these
    0.91
    each
    0.90
     Each
    0.83
     the
    0.82
    Each
    0.82
    this
    0.81
     THIS
    0.79
    Activations Density 0.530%

    No Known Activations