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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. 4-RES-JB
    11. 2199
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    Explanations

    adjectives related to emotions and characteristics

    oai_token-act-pair · gpt-3.5-turbo

    terms related to feelings of confidence and self-image

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

    No Comments

    Negative Logits
    ILA
    -0.76
    Roy
    -0.68
    UNCH
    -0.65
    ioxide
    -0.64
    afety
    -0.64
     DRAG
    -0.63
    ãĥīãĥ©
    -0.63
    ISTORY
    -0.63
    urrence
    -0.63
    anza
    -0.61
    POSITIVE LOGITS
     minded
    1.07
     enough
    0.91
    looking
    0.79
     spirited
    0.78
    nered
    0.74
     sounding
    0.74
    ly
    0.73
    ened
    0.71
    isable
    0.70
    minded
    0.69
    Activations Density 0.432%

    No Known Activations