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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
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    Explanations

    terms related to procedures or actions involving a sequence of steps

    oai_token-act-pair · gpt-3.5-turbo

    references to various procedures or processes in different 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
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    Negative Logits
    lar
    -0.65
    collar
    -0.65
    akening
    -0.64
     earnest
    -0.63
    IGHTS
    -0.63
    irie
    -0.60
     cheap
    -0.59
    mson
    -0.59
     trad
    -0.58
    bitious
    -0.58
    POSITIVE LOGITS
    ional
    1.04
    ioned
    0.93
     process
    0.86
    ions
    0.81
     processes
    0.78
     Process
    0.76
    naires
    0.76
    assium
    0.74
     droid
    0.74
    Shape
    0.73
    Activations Density 0.029%

    No Known Activations