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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. 11-RES-JB
    11. 6894
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    INDEX
    Explanations

    instances where something is found, determined, or alleged

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to investigations and findings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    osphere
    -0.79
     partName
    -0.70
    }}}
    -0.69
    thood
    -0.64
    soft
    -0.64
    ularity
    -0.64
     âĩ
    -0.63
    esc
    -0.63
    soType
    -0.62
    depending
    -0.60
    POSITIVE LOGITS
     that
    1.01
     irregularities
    0.93
     deficiencies
    0.89
     violations
    0.89
     negligence
    0.87
     probable
    0.87
     wrongdoing
    0.86
     improper
    0.82
     inconsistencies
    0.80
    that
    0.79
    Activations Density 0.205%

    No Known Activations