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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. 7-RES-JB
    11. 3173
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    Explanations

    phrases related to achieving goals or reaching a particular destination

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating success or achievement in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ©¶æ
    -0.68
     EVENTS
    -0.64
     Juda
    -0.63
    flex
    -0.61
    =#
    -0.59
     expressions
    -0.59
     intens
    -0.59
     elastic
    -0.58
     backdrop
    -0.57
     recurring
    -0.57
    POSITIVE LOGITS
    uberty
    0.83
     unsc
    0.75
    ozo
    0.74
    tten
    0.74
     Forbes
    0.72
    ophys
    0.71
     undet
    0.70
    istine
    0.70
     Unloaded
    0.69
    ellen
    0.68
    Activations Density 0.095%

    No Known Activations