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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. 6-RES-JB
    11. 21963
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    Explanations

    mentions of names of specific geographical locations or individuals

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "na" and its variations, suggesting a focus on phrases that describe a state or condition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wig
    -0.86
    enance
    -0.80
    aceous
    -0.79
    erm
    -0.76
    enton
    -0.74
    YN
    -0.73
    maps
    -0.71
    APH
    -0.71
    ienced
    -0.70
    OTOS
    -0.67
    POSITIVE LOGITS
    vel
    0.92
    issance
    0.88
    ñ
    0.85
    veland
    0.80
     lang
    0.79
    uthor
    0.78
     compr
    0.78
     cart
    0.75
     buckle
    0.75
    esthetic
    0.73
    Activations Density 0.031%

    No Known Activations