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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. 10-RES-JB
    11. 7887
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    INDEX
    Explanations

    phrases related to contrasting or opposing elements

    oai_token-act-pair · gpt-3.5-turbo

    negative elements and implications related to emotional and mental states

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Noon
    -0.77
     Nu
    -0.76
     square
    -0.74
     nort
    -0.70
     Cotton
    -0.70
     Daylight
    -0.68
     Zi
    -0.66
     bos
    -0.66
     Rut
    -0.65
     nails
    -0.63
    POSITIVE LOGITS
    oriented
    1.58
    driven
    1.55
    inducing
    1.55
    laden
    1.53
    seeking
    1.46
    focused
    1.44
    based
    1.43
    heavy
    1.37
    prone
    1.35
    packed
    1.35
    Activations Density 0.083%

    No Known Activations