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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
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    Explanations

    the concept of "hope" in various contexts and expressions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of hope

    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
    pes
    -0.76
    thus
    -0.73
    cise
    -0.73
    versions
    -0.70
    cit
    -0.69
    insula
    -0.68
    vet
    -0.66
    features
    -0.66
    sample
    -0.64
    geant
    -0.64
    POSITIVE LOGITS
    lessly
    1.00
     hope
    0.85
    fulness
    0.80
    eful
    0.75
    bringer
    0.73
    lessness
    0.72
     awaited
    0.71
     awaiting
    0.68
     innocence
    0.68
    terday
    0.68
    Activations Density 0.024%

    No Known Activations