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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. 11-RES-JB
    11. 72
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    Explanations

    phrases related to reports or statements made by authorities or police

    oai_token-act-pair · gpt-3.5-turbo

    reports of official statements, particularly those made by police or authorities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fixation
    -0.61
    ²¾
    -0.57
    Vision
    -0.55
    ometric
    -0.55
    ãĥĩ
    -0.55
    ggles
    -0.55
    theless
    -0.52
    talk
    -0.52
    milo
    -0.52
     advoc
    -0.51
    POSITIVE LOGITS
    .
    0.97
    *.
    0.76
    .?
    0.76
    .;
    0.76
     Monday
    0.72
    .–
    0.72
     Tuesday
    0.71
    geant
    0.71
    .*
    0.70
     Thursday
    0.70
    Activations Density 0.085%

    No Known Activations