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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. 12-RES-JB
    11. 4806
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    Explanations

    the word "zero" or variations of it, such as "zero-rated" or "zero-tolerance"

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    phrases related 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 @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    saw
    -0.68
    rough
    -0.67
    oard
    -0.60
    aws
    -0.59
     Ital
    -0.58
     Zup
    -0.58
    icken
    -0.56
    rup
    -0.56
     hon
    -0.55
    nikov
    -0.55
    POSITIVE LOGITS
     tolerance
    1.10
    MQ
    0.99
    onday
    0.90
    olerance
    0.84
     percent
    0.83
     sum
    0.83
     gravity
    0.82
    knowledge
    0.80
    sum
    0.77
    gravity
    0.76
    Activations Density 0.036%

    No Known Activations