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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. 14392
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    INDEX
    Explanations

    phrases indicating desires or intentions

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing desire or wishful thinking

    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
    quickShipAvailable
    -0.80
    Plus
    -0.66
    calling
    -0.65
    rising
    -0.64
    words
    -0.62
    lip
    -0.62
    lot
    -0.62
    cases
    -0.61
     adaptive
    -0.60
    case
    -0.59
    POSITIVE LOGITS
     be
    1.12
     stay
    1.11
     behave
    1.03
     succeed
    1.02
     participate
    0.95
     grow
    0.93
     come
    0.93
     emulate
    0.93
     continue
    0.92
     become
    0.91
    Activations Density 0.128%

    No Known Activations