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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. 11632
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    INDEX
    Explanations

    positive adjectives that describe subjective experiences

    oai_token-act-pair · gpt-3.5-turbo

    descriptors that convey strong positive or negative sentiments

    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
    lees
    -0.90
    events
    -0.86
    ravings
    -0.83
    apons
    -0.80
    iencies
    -0.80
    ittees
    -0.80
    assies
    -0.80
    upon
    -0.79
    hops
    -0.79
    apses
    -0.79
    POSITIVE LOGITS
     thing
    1.16
     reminder
    1.15
     example
    1.14
     piece
    1.09
     topic
    1.06
     asset
    1.05
     indication
    1.04
     testament
    1.02
     occurrence
    1.01
     deterrent
    1.01
    Activations Density 0.220%

    No Known Activations