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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. 6947
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    INDEX
    Explanations

    mentions of abstract concepts related to emotions or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of "sense" related to emotions and perceptions

    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
    annis
    -0.87
    sites
    -0.81
    onial
    -0.66
    dule
    -0.65
    heid
    -0.64
    eneg
    -0.62
    ernand
    -0.60
    byter
    -0.59
    solete
    -0.59
    aunts
    -0.59
    POSITIVE LOGITS
     compulsion
    0.76
     urgency
    0.76
    ively
    0.74
    UAL
    0.74
    omatic
    0.73
    ibility
    0.72
    i
    0.70
     deprivation
    0.69
     sense
    0.69
     pleasures
    0.69
    Activations Density 0.039%

    No Known Activations