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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. 3-RES-JB
    11. 8241
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    Explanations

    notable mentions such as headlines or key points in a text

    oai_token-act-pair · gpt-3.5-turbo

    references to front page and front line media coverage

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    acci
    -0.77
    alli
    -0.75
    Ĥİ
    -0.75
    ŃĶ
    -0.71
     Glac
    -0.69
     Transfer
    -0.66
     numb
    -0.66
    adic
    -0.65
    lost
    -0.64
    ahon
    -0.64
    POSITIVE LOGITS
     throats
    0.71
    enance
    0.69
    zl
    0.68
     corners
    0.68
    eus
    0.66
    ograph
    0.65
    eele
    0.63
     Gors
    0.63
    kefeller
    0.62
     drawer
    0.62
    Activations Density 0.097%

    No Known Activations