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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. 7-RES-JB
    11. 14043
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    phrases related to projects or plans that are in progress or being considered

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to plans or projects in progress

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BuyableInstoreAndOnline
    -0.64
    ritical
    -0.62
    ku
    -0.60
    dos
    -0.57
    die
    -0.56
     rarity
    -0.55
     welf
    -0.55
     luc
    -0.54
    CVE
    -0.54
    ailability
    -0.53
    POSITIVE LOGITS
     internally
    0.75
    terday
    0.74
     Phase
    0.73
     anew
    0.72
    igham
    0.71
     plans
    0.70
     preparations
    0.69
    Phase
    0.69
    abouts
    0.68
     constructing
    0.67
    Activations Density 0.163%

    No Known Activations