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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. 13811
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    Explanations

    safety-related actions or conditions expressed in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    the concept of safety or safe actions

    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
    yi
    -0.84
    plates
    -0.73
    features
    -0.70
    intent
    -0.69
    nis
    -0.68
    pel
    -0.67
    lag
    -0.66
    iry
    -0.66
    pieces
    -0.65
    amen
    -0.64
    POSITIVE LOGITS
     safely
    1.14
     exting
    1.05
     conclud
    0.86
    veland
    0.82
     evacuated
    0.82
     outweigh
    0.80
     pione
    0.76
    Ü
    0.76
     outwe
    0.75
     evacuate
    0.74
    Activations Density 0.010%

    No Known Activations