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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. 6117
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    Explanations

    phrases related to actions or situations involving varying levels of importance or gravity

    oai_token-act-pair · gpt-3.5-turbo

    references to significant events or discussions in society

    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
     Fed
    -0.67
    Fed
    -0.66
    ptin
    -0.65
     Mog
    -0.62
    ber
    -0.61
    raq
    -0.60
    cia
    -0.60
    ."[
    -0.59
    zu
    -0.58
    FA
    -0.58
    POSITIVE LOGITS
    pired
    0.71
    pires
    0.61
    itri
    0.59
     coincide
    0.58
    illac
    0.58
     «
    0.57
    etheless
    0.56
     Jobs
    0.56
    ocally
    0.56
    rament
    0.55
    Activations Density 1.876%

    No Known Activations