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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. 18776
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    Explanations

    images with a specific photo credit mention

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "photo" in various contexts

    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
    iated
    -0.83
    rity
    -0.80
    iations
    -0.80
    sheet
    -0.77
    nesses
    -0.76
    hip
    -0.75
    ness
    -0.73
    iencies
    -0.69
    iation
    -0.68
    iate
    -0.68
    POSITIVE LOGITS
    veland
    1.03
    zzi
    1.01
    vernment
    0.98
    onga
    0.91
    ============
    0.89
    ========
    0.86
    chn
    0.79
    zzo
    0.79
    pport
    0.76
    ffic
    0.74
    Activations Density 0.066%

    No Known Activations