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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. 19775
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    Explanations

    strings related to actions or events performed by or involving people

    oai_token-act-pair · gpt-3.5-turbo

    verbs indicating past actions or states

    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
    economic
    -0.67
    ordinary
    -0.64
    depending
    -0.62
    ollar
    -0.61
    ilater
    -0.60
    anging
    -0.60
    idia
    -0.59
    ogenous
    -0.59
    imei
    -0.58
    autical
    -0.58
    POSITIVE LOGITS
     Collider
    0.74
     Torment
    0.72
     Paste
    0.69
     Fract
    0.65
    pload
    0.65
     Bravo
    0.65
     Invasion
    0.63
     Brass
    0.63
     Unleashed
    0.63
     Slack
    0.62
    Activations Density 0.809%

    No Known Activations