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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. 9-RES-JB
    11. 16344
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    Explanations

    words related to motivation or the act of influencing or directing someone or something

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the concept of driving forces or motivations behind actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Seym
    -0.89
    çĦ
    -0.77
    alg
    -0.77
    anamo
    -0.74
    roma
    -0.68
    iddler
    -0.66
     Canad
    -0.65
    aca
    -0.65
    arus
    -0.64
    umbing
    -0.64
    POSITIVE LOGITS
    train
    0.84
     wedge
    0.82
    ves
    0.80
     away
    0.80
    posts
    0.75
     driving
    0.74
     toward
    0.74
     towards
    0.73
    driving
    0.73
    ousel
    0.71
    Activations Density 0.052%

    No Known Activations