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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. 8884
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    Explanations

    visual descriptions or comparisons in text

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing visual appearances or descriptions

    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
    ricular
    -0.77
    learning
    -0.73
    venient
    -0.72
    upuncture
    -0.72
    ulla
    -0.71
    ference
    -0.70
    mental
    -0.69
    cession
    -0.68
    vention
    -0.68
    limit
    -0.68
    POSITIVE LOGITS
    ahead
    0.84
     snipp
    0.81
     like
    0.80
     vaguely
    0.79
     identical
    0.78
     strikingly
    0.78
     suspic
    0.76
     kinda
    0.75
     awfully
    0.74
    bones
    0.74
    Activations Density 0.067%

    No Known Activations