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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. 12123
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    Explanations

    mentions of video recordings and related terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to video recording and videotapes

    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
    street
    -0.69
     prevailing
    -0.66
    gas
    -0.64
     guess
    -0.62
    BRE
    -0.62
     Aval
    -0.61
     sleeper
    -0.59
     Thames
    -0.59
    BuyableInstoreAndOnline
    -0.59
     deduction
    -0.58
    POSITIVE LOGITS
     videot
    1.08
    aped
    1.07
    aping
    1.01
    apes
    0.98
    ape
    0.93
     tape
    0.92
     tapes
    0.89
     taped
    0.88
    ribut
    0.86
    enced
    0.86
    Activations Density 0.008%

    No Known Activations