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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. 657
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    Explanations

    phrases related to difficulty or challenge

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe the difficulty or feasibility of actions

    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
     newsp
    -0.68
    urga
    -0.65
    soDeliveryDate
    -0.63
    soType
    -0.62
    flo
    -0.62
    çī
    -0.62
    reports
    -0.62
    anooga
    -0.61
    Lv
    -0.59
    Flor
    -0.59
    POSITIVE LOGITS
     emulate
    1.06
     survive
    0.99
     overcome
    0.95
     avoid
    0.93
     be
    0.92
     participate
    0.92
     keep
    0.92
     prove
    0.92
     fulfill
    0.91
     pursue
    0.91
    Activations Density 0.160%

    No Known Activations