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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. 6-RES-JB
    11. 5068
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    INDEX
    Explanations

    phrases related to actions taken or experiences had

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating expectations or past experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    States
    -0.70
    Britain
    -0.69
    nick
    -0.66
    behind
    -0.64
     Julius
    -0.60
    Present
    -0.60
    Eastern
    -0.59
    Roman
    -0.58
    Picture
    -0.57
    Russ
    -0.57
    POSITIVE LOGITS
    ãĥĨ
    0.72
    wcsstore
    0.69
    rontal
    0.69
    °
    0.67
     Been
    0.65
    ãĤ¦ãĤ¹
    0.65
    %:
    0.61
    CLASSIFIED
    0.61
    ansson
    0.59
     plenty
    0.59
    Activations Density 0.097%

    No Known Activations