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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
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    Explanations

    the word "things"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "things" 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
    bern
    -0.80
    oku
    -0.79
    esi
    -0.74
    geon
    -0.69
    awar
    -0.69
    iary
    -0.68
    oir
    -0.65
    choes
    -0.63
    sylv
    -0.63
    gee
    -0.61
    POSITIVE LOGITS
     happening
    1.02
     happen
    0.96
     happens
    0.92
     happened
    0.90
     happ
    0.83
     occurring
    0.77
     transpired
    0.75
     imaginable
    0.74
     pertaining
    0.73
     else
    0.69
    Activations Density 0.034%

    No Known Activations