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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. 2-RES-JB
    11. 5622
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    Explanations

    words related to actions and outcomes

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "end up" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ongyang
    -0.76
    afety
    -0.72
     wielded
    -0.69
    urat
    -0.68
     levied
    -0.67
    soDeliveryDate
    -0.64
    grain
    -0.64
    acus
    -0.62
    icons
    -0.62
    channelAvailability
    -0.61
    POSITIVE LOGITS
     Pradesh
    0.81
    imester
    0.73
    rast
    0.65
     hostilities
    0.64
     exhaustion
    0.64
     fray
    0.64
     cycle
    0.63
    zig
    0.62
    stru
    0.62
     Garr
    0.60
    Activations Density 0.406%

    No Known Activations