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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. 1-RES-JB
    11. 15750
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    INDEX
    Explanations

    adjectives expressing potential or capability

    oai_token-act-pair · gpt-3.5-turbo

    references to the capability or potential of subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cot
    -0.77
    cision
    -0.63
    VEN
    -0.63
    bows
    -0.62
     Swe
    -0.61
    abeth
    -0.61
    mol
    -0.60
    alter
    -0.60
     Physicians
    -0.60
    akov
    -0.59
    POSITIVE LOGITS
     capable
    1.16
     incapable
    0.99
     accompl
    0.87
    sonian
    0.86
    bodied
    0.82
    icient
    0.82
    ansas
    0.79
     cannabin
    0.79
    idable
    0.79
    nesses
    0.77
    Activations Density 0.011%

    No Known Activations