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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. 24149
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    Explanations

    phrases indicating understanding or perception

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate understanding or perception of concepts or situations

    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
    iki
    -0.80
    die
    -0.76
    atri
    -0.67
    yne
    -0.66
    bees
    -0.63
     Kafka
    -0.63
    akia
    -0.61
    ongs
    -0.60
     Bulgar
    -0.60
    ylum
    -0.60
    POSITIVE LOGITS
     thereof
    0.91
     whats
    0.89
     how
    0.85
     outline
    0.81
     glim
    0.76
     outlines
    0.76
     whence
    0.75
     impression
    0.75
     glimpse
    0.74
     ballpark
    0.74
    Activations Density 0.178%

    No Known Activations