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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. 17851
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    Explanations

    mentions of social class, specifically the middle class

    oai_token-act-pair · gpt-3.5-turbo

    references to the middle class

    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
    atche
    -0.79
     Canaver
    -0.77
    edIn
    -0.74
    pedia
    -0.72
    raltar
    -0.70
    tics
    -0.70
    apon
    -0.69
    SIGN
    -0.67
    nant
    -0.67
    ESCO
    -0.64
    POSITIVE LOGITS
    brow
    0.91
    piece
    0.86
     finger
    0.75
    tone
    0.74
    uve
    0.74
    pace
    0.72
     school
    0.72
    borough
    0.70
    weights
    0.70
    ebted
    0.70
    Activations Density 0.016%

    No Known Activations