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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. 8-RES-JB
    11. 12784
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    Explanations

    phrases related to taking action or making decisions

    oai_token-act-pair · gpt-3.5-turbo

    actions related to initiating plans or tasks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arta
    -0.76
    uded
    -0.68
    ibel
    -0.65
    sis
    -0.62
     guiActiveUnfocused
    -0.59
    obyl
    -0.58
    utf
    -0.58
    io
    -0.57
    bia
    -0.56
    ovi
    -0.56
    POSITIVE LOGITS
    byss
    0.75
     anew
    0.74
     another
    0.67
    perty
    0.67
     srfAttach
    0.67
     UCH
    0.66
    yss
    0.66
    etheless
    0.65
    CHAT
    0.63
    rower
    0.63
    Activations Density 0.423%

    No Known Activations