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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. 7280
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    Explanations

    phrases containing the word "and" along with an additional concept or action

    oai_token-act-pair · gpt-3.5-turbo
    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
    DX
    -0.72
     Powered
    -0.72
    irie
    -0.68
    !'
    -0.66
    pees
    -0.64
    uta
    -0.64
    mega
    -0.63
     pione
    -0.62
    shift
    -0.62
    fuck
    -0.62
    POSITIVE LOGITS
     therefore
    1.08
     consequently
    1.06
     hence
    1.02
     secondly
    0.95
     furthermore
    0.95
     noting
    0.94
     thus
    0.91
     possibly
    0.91
     "[
    0.89
     urged
    0.88
    Activations Density 0.305%

    No Known Activations