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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. 16463
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    Explanations

    multiple words starting with the same first two letters

    oai_token-act-pair · gpt-3.5-turbo

    references to educational institutions and their related characteristics

    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
     crow
    -0.78
     Chen
    -0.75
    roma
    -0.74
     Scrolls
    -0.72
    onomy
    -0.71
     Song
    -0.70
    awn
    -0.68
     Camden
    -0.68
     Avatar
    -0.67
     necklace
    -0.66
    POSITIVE LOGITS
    F
    1.53
    f
    1.42
    FF
    1.39
    Fs
    1.38
    FP
    1.38
    FH
    1.35
    FA
    1.33
    fp
    1.33
    fo
    1.31
    fa
    1.31
    Activations Density 0.706%

    No Known Activations