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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. 4761
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    Explanations

    references to local entities or systems

    oai_token-act-pair · gpt-3.5-turbo

    references to local systems and concepts

    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
    hower
    -0.84
    olicy
    -0.80
     âĶľ
    -0.78
    xual
    -0.75
    uberty
    -0.74
    \":
    -0.73
    swer
    -0.71
    OHN
    -0.69
    ril
    -0.67
    selage
    -0.66
    POSITIVE LOGITS
    ities
    1.28
    izations
    1.26
    ised
    1.24
    isation
    1.17
    ization
    1.14
    ized
    1.13
    izing
    1.06
    izable
    1.01
    izes
    1.00
    izers
    1.00
    Activations Density 0.043%

    No Known Activations