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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. 0-RES-JB
    11. 15237
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    Explanations

    words starting with 'ret' and followed by a number from 9 to 10

    oai_token-act-pair · gpt-3.5-turbo

    words related to the concept of "retaining."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    estine
    -0.76
     Esper
    -0.72
     Melvin
    -0.69
     Wooden
    -0.69
    ouse
    -0.67
    amac
    -0.67
    mine
    -0.67
     Heavenly
    -0.66
    ensable
    -0.66
    olina
    -0.65
    POSITIVE LOGITS
     ret
    3.80
     Ret
    1.85
    Ret
    1.66
    ret
    1.60
     RET
    1.32
     recapt
    1.26
     retract
    1.20
     retri
    1.17
     rejo
    1.17
     retina
    1.15
    Activations Density 0.013%

    No Known Activations