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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. 6-RES-JB
    11. 7285
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    Explanations

    phrases related to intense or impactful actions or situations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to strong emotions or reactions in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sidx
    -0.61
    opt
    -0.60
    apest
    -0.58
    eneg
    -0.57
    ource
    -0.56
    chell
    -0.55
    amous
    -0.55
    encia
    -0.55
    cient
    -0.54
    iola
    -0.54
    POSITIVE LOGITS
     mankind
    0.60
     behalf
    0.59
     Canberra
    0.56
     oneself
    0.56
     humankind
    0.54
     Camel
    0.52
     Tokyo
    0.51
     Sharks
    0.51
     Razor
    0.49
     Fresno
    0.49
    Activations Density 0.801%

    No Known Activations