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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. 2-RES-JB
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    phrases where the word "whatever" is mentioned

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "whatever"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enburg
    -0.86
    por
    -0.85
    enberg
    -0.84
    eds
    -0.81
    ids
    -0.79
    iard
    -0.78
    stra
    -0.75
    ea
    -0.73
    et
    -0.73
     Range
    -0.72
    POSITIVE LOGITS
    soever
    1.23
     else
    1.02
    wcsstore
    0.95
     sorts
    0.86
    ĸļ
    0.86
     happened
    0.85
    THING
    0.83
     transpired
    0.82
     floats
    0.82
     happ
    0.81
    Activations Density 0.010%

    No Known Activations