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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. 6-RES-JB
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    Explanations

    phrases containing the word "Whatever"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ea
    -0.93
    iard
    -0.92
    por
    -0.89
    ãĥ¼ãĥ³
    -0.81
    enberg
    -0.81
    agos
    -0.78
    arie
    -0.78
    press
    -0.78
    enburg
    -0.74
    enthal
    -0.73
    POSITIVE LOGITS
     else
    1.12
    soever
    0.95
     floats
    0.92
     transpired
    0.89
     happens
    0.87
     happened
    0.87
    THING
    0.85
    body
    0.81
    theless
    0.81
     doubts
    0.73
    Activations Density 0.018%

    No Known Activations