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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. 7075
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    INDEX
    Explanations

    phrases related to the concept of 'zero'

    oai_token-act-pair · gpt-3.5-turbo

    references to "zero tolerance" policies

    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
    rough
    -0.76
    Downloadha
    -0.76
    ammad
    -0.68
    nikov
    -0.68
    RAW
    -0.66
    andise
    -0.66
    icken
    -0.65
    saw
    -0.64
    Interstitial
    -0.64
    apons
    -0.64
    POSITIVE LOGITS
     tolerance
    1.02
    MQ
    0.90
     percent
    0.83
     gravity
    0.82
     sum
    0.80
    onday
    0.80
    pointer
    0.79
     volts
    0.78
     Hedge
    0.78
     Gravity
    0.76
    Activations Density 0.023%

    No Known Activations