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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. 9835
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    Explanations

    names starting with "Ol" or including "Ol" with decreasing strength

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Ol."

    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
    ãĥ¼ãĥĨãĤ£
    -0.73
    eering
    -0.71
     CFR
    -0.71
    liness
    -0.69
     Stafford
    -0.66
    åij
    -0.64
     CLSID
    -0.64
    ãĤº
    -0.63
    -+-+
    -0.62
     pitted
    -0.61
    POSITIVE LOGITS
    iver
    1.10
    sson
    0.96
    sen
    0.96
    ga
    0.93
    ivers
    0.91
    arious
    0.91
    ives
    0.90
    ivas
    0.90
    encer
    0.89
    mer
    0.88
    Activations Density 0.033%

    No Known Activations