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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. 1-RES-JB
    11. 3546
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    Explanations

    the likelihood of something happening

    oai_token-act-pair · gpt-3.5-turbo

    statements that express the possibility of events or scenarios

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bane
    -0.93
    yer
    -0.80
    rams
    -0.77
    masters
    -0.76
    OVA
    -0.73
    mpire
    -0.73
    rix
    -0.71
    inate
    -0.71
    ogun
    -0.70
    glass
    -0.70
    POSITIVE LOGITS
     surv
    0.90
     feas
    0.87
     conclud
    0.77
     Possible
    0.76
     conceivable
    0.76
    ossibility
    0.74
     embodiments
    0.73
    cffffcc
    0.72
     possible
    0.69
     è£ıè¦ļéĨĴ
    0.69
    Activations Density 0.025%

    No Known Activations