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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 4485
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    Explanations

    references to specific individuals with the title "Mr." in the text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of individuals with the title "Mr." followed by a name

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    rawdownloadcloneembedreportprint
    -0.93
     appre
    -0.81
     actionGroup
    -0.77
    catentry
    -0.76
    20439
    -0.69
     wheelchair
    -0.68
    irtual
    -0.68
    ãĥ¼ãĥĨ
    -0.67
    VALUE
    -0.67
     pedals
    -0.66
    POSITIVE LOGITS
     Obama
    0.85
     Trump
    0.79
     Duterte
    0.77
     Universe
    0.77
     Putin
    0.76
     Justice
    0.72
    uv
    0.71
     Erdogan
    0.70
     Hussein
    0.69
     Assad
    0.69
    Activations Density 0.032%

    No Known Activations