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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. 23949
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    INDEX
    Explanations

    references to claims or assertions made by individuals

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb "was" in various contexts

    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
    rouse
    -0.71
    idth
    -0.67
    icles
    -0.66
    stood
    -0.65
    oise
    -0.65
    inas
    -0.62
    ems
    -0.61
    has
    -0.61
    oidal
    -0.60
    bread
    -0.60
    POSITIVE LOGITS
     mistaken
    1.13
     intentionally
    1.08
     improperly
    1.07
     wrongly
    1.07
     careless
    1.05
     unfairly
    1.04
     coerced
    1.04
     deliberately
    1.04
     purposely
    1.03
     negligent
    1.03
    Activations Density 0.338%

    No Known Activations