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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. 4-RES-JB
    11. 24016
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    Explanations

    phrases related to aiming or targeting

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "aim" or targeting in various contexts

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

    No Comments

    Negative Logits
     Solitaire
    -0.71
    UX
    -0.69
    PASS
    -0.68
    Mini
    -0.67
     Towns
    -0.67
    natureconservancy
    -0.66
    Du
    -0.66
    Versions
    -0.66
    Edward
    -0.64
     Sapp
    -0.64
    POSITIVE LOGITS
    lessly
    1.18
    emouth
    0.86
    atory
    0.83
    amental
    0.82
    eers
    0.82
    lessness
    0.81
    ims
    0.80
    sonian
    0.78
    posts
    0.77
     aim
    0.77
    Activations Density 0.012%

    No Known Activations