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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. 22985
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    Explanations

    words related to initiating or beginning an action

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to initiation or commencement of 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
    obi
    -0.82
    icol
    -0.71
    âĨij
    -0.69
    warts
    -0.66
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.66
    pedia
    -0.65
     entirety
    -0.65
    Origin
    -0.64
    ullah
    -0.64
     ILCS
    -0.64
    POSITIVE LOGITS
     anew
    1.22
     noticing
    0.97
     behaving
    0.91
     experimenting
    0.89
     raining
    0.86
     collecting
    0.84
     researching
    0.81
     treating
    0.81
     seeing
    0.80
     bothering
    0.80
    Activations Density 0.077%

    No Known Activations