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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. 9-RES-JB
    11. 19794
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    INDEX
    Explanations

    instances of the word "Adobe" along with related terms like software names

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Adobe brand and its products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arios
    -0.86
    aries
    -0.83
    fleet
    -0.79
    enger
    -0.76
    nard
    -0.76
    obos
    -0.76
    rera
    -0.74
    ablishment
    -0.74
    icky
    -0.71
    iry
    -0.69
    POSITIVE LOGITS
     Photoshop
    1.05
    robat
    0.89
    ®
    0.89
    RGB
    0.87
     Reader
    0.86
     Illust
    0.83
     Ac
    0.81
     AIR
    0.80
     Flash
    0.80
    Plex
    0.80
    Activations Density 0.056%

    No Known Activations