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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 5112
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    Explanations

    phrases with verbs associated with communication, decision-making, and actions

    oai_token-act-pair · gpt-3.5-turbo
    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
    oris
    -0.69
    jah
    -0.66
    ãĤ«
    -0.66
    Tes
    -0.63
    Screenshot
    -0.63
    ãĥ©ãĥ³
    -0.62
    ika
    -0.61
    ja
    -0.61
    ãĥ£
    -0.60
    Crystal
    -0.58
    POSITIVE LOGITS
     anyways
    1.24
     anyway
    1.24
     AFTER
    1.12
     uncond
    1.07
     ourselves
    1.07
     yourself
    1.05
     voluntarily
    1.00
     sooner
    0.98
     outright
    0.98
     herself
    0.98
    Activations Density 0.592%

    No Known Activations