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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. 11203
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    INDEX
    Explanations

    phrases related to physical locations or movement

    oai_token-act-pair · gpt-3.5-turbo

    references to doors and exits

    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
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    No Comments

    Negative Logits
    hemy
    -0.75
    iard
    -0.74
    icion
    -0.72
    iasco
    -0.71
    aiden
    -0.70
    utical
    -0.69
    atomic
    -0.68
     Maced
    -0.66
    ancial
    -0.66
    htaking
    -0.66
    POSITIVE LOGITS
     flyers
    0.76
     frustrations
    0.76
     door
    0.69
    stretched
    0.68
     backdoor
    0.68
     bru
    0.67
     popcorn
    0.66
     curfew
    0.66
     wrinkles
    0.65
     laundry
    0.65
    Activations Density 0.197%

    No Known Activations