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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. 20439
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    INDEX
    Explanations

    phrases related to significant outcomes or decisions

    oai_token-act-pair · gpt-3.5-turbo

    references to destiny or fate

    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
    afort
    -0.75
    orney
    -0.75
    atchewan
    -0.73
    arge
    -0.70
    Ops
    -0.68
    agement
    -0.67
    yi
    -0.66
    artney
    -0.65
    abi
    -0.65
    amily
    -0.65
    POSITIVE LOGITS
     fate
    0.98
    bringer
    0.90
    lessly
    0.82
    lect
    0.77
    istically
    0.76
     incarn
    0.73
    stre
    0.70
    blow
    0.69
    ality
    0.68
    shed
    0.68
    Activations Density 0.025%

    No Known Activations