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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. 2099
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    Explanations

    phrases indicating a current state or location

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating ongoing processes or states related to situational contexts

    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
    soever
    -0.79
    bots
    -0.79
    onto
    -0.70
    Stars
    -0.65
     thereby
    -0.63
    ques
    -0.61
     CNS
    -0.60
     overcame
    -0.60
     accompanies
    -0.59
    anooga
    -0.59
    POSITIVE LOGITS
     forefront
    0.96
     doorstep
    0.75
     happiest
    0.74
    liest
    0.72
     twilight
    0.71
     infancy
    0.67
     cradle
    0.67
     verge
    0.66
    versely
    0.65
     quieter
    0.65
    Activations Density 0.444%

    No Known Activations