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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
    11. 16135
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    Explanations

    phrases related to revealing or clarifying information

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "shed light" or similar expressions that indicate enlightenment or clarification on a subject

    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
    okia
    -0.74
    FN
    -0.70
    isner
    -0.69
    apons
    -0.66
    OPLE
    -0.65
    avage
    -0.65
    ettings
    -0.64
     SAS
    -0.63
    imilation
    -0.62
    hare
    -0.61
    POSITIVE LOGITS
    enment
    1.08
    weights
    1.00
    lights
    0.99
     bulb
    0.97
    hearted
    0.87
    ener
    0.86
     shine
    0.84
    lighting
    0.82
    bringer
    0.82
     shone
    0.82
    Activations Density 0.013%

    No Known Activations