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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 9-RES-JB
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    Explanations

    the word "whatever."

    oai_token-act-pair · gpt-3.5-turbo

    the term "whatever" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ea
    -0.83
    arest
    -0.82
    arb
    -0.81
    iard
    -0.80
    lich
    -0.77
    agos
    -0.76
    iv
    -0.76
    enthal
    -0.75
    enburg
    -0.73
    auri
    -0.73
    POSITIVE LOGITS
     else
    1.16
     happens
    1.14
    soever
    1.10
     happened
    1.07
     floats
    1.00
    THING
    0.82
     semblance
    0.79
     transpired
    0.79
     bullshit
    0.74
     excuse
    0.73
    Activations Density 0.040%

    No Known Activations