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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. 13569
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    Explanations

    pronouns followed by verbs indicating giving or sharing actions

    oai_token-act-pair · gpt-3.5-turbo

    pronouns indicating ownership or reference to individuals

    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
    ami
    -0.79
    taboola
    -0.76
    eness
    -0.70
    asha
    -0.68
    amiya
    -0.65
    ute
    -0.65
    _.
    -0.64
    dayName
    -0.63
     Archdemon
    -0.63
    uting
    -0.61
    POSITIVE LOGITS
     pause
    0.86
     ample
    0.85
    ãģ¦
    0.82
     insight
    0.77
     clues
    0.77
     assurances
    0.77
     flashbacks
    0.76
     glimps
    0.76
     access
    0.75
    rov
    0.75
    Activations Density 0.086%

    No Known Activations